code: def test_repeated_points_large_sparse_spatial(
      sparse_spatial_data_repeats,
  ):
      model = UMAP(
          n_neighbors=3,
          unique=True,
          force_approximation_algorithm=True,
          n_epochs=20,
          verbose=True,
      ).fit(sparse_spatial_data_repeats)
      assert np.unique(model.embedding_[0:2], axis=0).shape[0] == 1
  
file_path: umap/umap/tests/test_umap_repeated_data.py
imports: import numpy
  from umap import UMAP
label_desc: Use image node_id 1 for calling a global function with example usage: test_repeated_points_large_sparse_spatial(sparse_spatial_data_repeats) without return types